Sunflowers make small moves to maximize their Sun exposure – physicists can model them to predict how they grow
Charles Darwin’s detailed observations of plant movements, such as sunflower circumnutation and self-organization, reveal how randomness helps plants optimize growth and adapt to their environments. Sunflowers!
Most of us aren’t spending our days watching our houseplants grow. We see their signs of life only occasionally – a new leaf unfurled, a stem leaning toward the window.
But in the summer of 1863, Charles Darwin lay ill in bed, with nothing to do but watch his plants so closely that he could detect their small movements to and fro. The tendrils from his cucumber plants swept in circles until they encountered a stick, which they proceeded to twine around.
“I am getting very much amused by my tendrils,” he wrote.
This amusement blossomed into a decadeslong fascination with the little-noticed world of plant movements. He compiled his detailed observations and experiments in a 1880 book called “The Power of Movement in Plants.”
A diagram tracking the circumnutation of a leaf over three days. Charles Darwin
In one study, he traced the motion of a carnation leaf every few hours over the course of three days, revealing an irregular looping, jagged path. The swoops of cucumber tendrils and the zags of carnation leaves are examples of inherent, ubiquitous plant movements called circumnutations – from the Latin circum, meaning circle, and nutare, meaning to nod.
Circumnutations vary in size, regularity and timescale across plant species. But their exact function remains unclear.
I’m a physicist interested in understanding collective behavior in living systems. Like Darwin, I’m captivated by circumnutations, since they may underlie more complex phenomena in groups of plants.
Sunflower patterns
A 2017 study revealed a fascinating observation that got my colleagues and me wondering about the role circumnutations could play in plant growth patterns. In this study, researchers found that sunflowers grown in a dense row naturally formed a near-perfect zigzag pattern, with each plant leaning away from the row in alternating directions.
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This pattern allowed the plants to avoid shade from their neighbors and maximize their exposure to sunlight. These sunflowers flourished.
Researchers then planted some plants at the same density but constrained them so that they could grow only upright without leaning. These constrained plants produced less oil than the plants that could lean and get the maximum amount of sun.
While farmers can’t grow their sunflowers quite this close together due to the potential for disease spread, in the future they may be able to use these patterns to come up with new planting strategies.
Self-organization and randomness
This spontaneous pattern formation is a neat example of self-organization in nature. Self-organization refers to when initially disordered systems, such as a jungle of plants or a swarm of bees, achieve order without anything controlling them. Order emerges from the interactions between individual members of the system and their interactions with the environment.
Somewhat counterintuitively, noise – also called randomness – facilitates self-organization. Consider a colony of ants.
Ants secrete pheromones behind them as they crawl toward a food source. Other ants find this food source by following the pheromone trails, and they further reinforce the trail they took by secreting their own pheromones in turn. Over time, the ants converge on the best path to the food, and a single trail prevails.
But if a shorter path were to become possible, the ants would not necessarily find this path just by following the existing trail.
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If a few ants were to randomly deviate from the trail, though, they might stumble onto the shorter path and create a new trail. So this randomness injects a spontaneous change into the ants’ system that allows them to explore alternative scenarios.
Eventually, more ants would follow the new trail, and soon the shorter path would prevail. This randomness helps the ants adapt to changes in the environment, as a few ants spontaneously seek out more direct ways to their food source.
In biology, self-organized systems can be found at a range of scales, from the patterns of proteins inside cells to the socially complex colonies of honeybees that collectively build nests and forage for nectar.
Randomness in sunflower self-organization
So, could random, irregular circumnutations underpin the sunflowers’ self-organization?
My colleagues and I set out to explore this question by following the growth of young sunflowers we planted in the lab. Using cameras that imaged the plants every five minutes, we tracked the movement of the plants to see their circumnutatory paths.
We saw some loops and spirals, and lots of jagged movements. These ultimately appeared largely random, much like Darwin’s carnation. But when we placed the plants together in rows, they began to move away from one another, forming the same zigzag configurations that we’d seen in the previous study.
Tracking the circumnutations made by young sunflower plants. Chantal Nguyen
We analyzed the plants’ circumnutations and found that at any given time, the direction of the plant’s motion appeared completely independent of how it was moving about half an hour earlier. If you measured a plant’s motion once every 30 minutes, it would appear to be moving in a completely random way.
We also measured how much the plant’s leaves grew over the course of two weeks. By putting all of these results together, we sketched a picture of how a plant moved and grew on its own. This information allowed us to computationally model a sunflower and simulate how it behaves over the course of its growth.
A sunflower model
We modeled each plant simply as a circular crown on a stem, with the crown expanding according to the growth rate we measured experimentally. The simulated plant moved in a completely random way, taking a “step” every half hour.
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We created the model sunflowers with circumnutations of lower or higher intensity by tweaking the step sizes. At one end of the spectrum, sunflowers were much more likely to take tiny steps than big ones, leading to slow, minimal movement on average. At the other end were sunflowers that are equally as likely to take large steps as small steps, resulting in highly irregular movement. The real sunflowers we observed in our experiment were somewhere in the middle.
We wanted our model sunflowers to do the same thing. So, we made it so that two plants that get too close to each other’s shade begin to lean away in opposite directions.
Finally, we wanted to see whether we could replicate the zigzag pattern we’d observed with the real sunflowers in our model.
First, we set the model sunflowers to make small circumnutations. Their shade avoidance responses pushed them away from each other, but that wasn’t enough to produce the zigzag – the model plants stayed stuck in a line. In physics, we would call this a “frustrated” system.
Then, we set the plants to make large circumnutations. The plants started moving in random patterns that often brought the plants closer together rather than farther apart. Again, no zigzag pattern like we’d seen in the field.
But when we set the model plants to make moderately large movements, similar to our experimental measurements, the plants could self-organize into a zigzag pattern that gave each sunflower optimal exposure to light.
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So, we showed that these random, irregular movements helped the plants explore their surroundings to find desirable arrangements that benefited their growth.
Plants are much more dynamic than people give them credit for. By taking the time to follow them, scientists and farmers can unlock their secrets and use plants’ movement to their advantage.
STM Daily News is a vibrant news blog dedicated to sharing the brighter side of human experiences. Emphasizing positive, uplifting stories, the site focuses on delivering inspiring, informative, and well-researched content. With a commitment to accurate, fair, and responsible journalism, STM Daily News aims to foster a community of readers passionate about positive change and engaged in meaningful conversations. Join the movement and explore stories that celebrate the positive impacts shaping our world.
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SOURCE:
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3 U.S. Jelly Bean Sales/Top 10 Markets – IRI Data Ending 3.31.24
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5 #1 Seasonal Easter Jelly Bean Brand – Circana Market Advantage Total US MULO+C: Easter Season 8 Weeks WE 3.31.24; #1 Candy Corn Brand – CIRCANA SCAN DATA, MULO+C HWN 14 Weeks W/E 11.3.24; #1 Conversation Heart Brand – Circana Market Advantage Total US MULO+C: Valentine’s Day Season 8 Weeks WE 2.18.24; #1 Candy Cane Brand – Circana Market Advantage Total US MULO+C: Holiday Season 8 Weeks WE 12.24.23
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SOURCE Ferrara
STM Daily News is a vibrant news blog dedicated to sharing the brighter side of human experiences. Emphasizing positive, uplifting stories, the site focuses on delivering inspiring, informative, and well-researched content. With a commitment to accurate, fair, and responsible journalism, STM Daily News aims to foster a community of readers passionate about positive change and engaged in meaningful conversations. Join the movement and explore stories that celebrate the positive impacts shaping our world.
In early 2021, after a decade of political and economic reforms, Myanmar looked like it was finally beginning to shake off the hangover of decades of military rule. Foreign investment was growing, and standards of living were gradually improving.
In February that year, however, the military again grabbed power after ousting Aung San Suu Kyi’s democratically elected government in a coup. This sent the country spiralling towards civil war and social and economic collapse.
In the latest addition to the daily misery of Myanmar’s long-suffering people, a huge 7.7-magnitude earthquake hit the centre of the country on Friday. Its epicentre was just outside Mandalay, the county’s second-largest city.
The Thai capital of Bangkok, more than 1,000 kilometres from the epicentre, experienced extensive damage too. Video images showed a collapsing building under construction and sloshing rooftop infinity pools causing waterfalls down high-rise condominiums.
Information on the extent of the damage in Myanmar was slower to emerge, given the junta has largely banned social media and communications apps, such as Facebook, Instagram, WhatsApp, Signal and X.
The death toll has now passed 1,000 at the time of writing. US Geological Survey modelling, however, suggests there could be more than 10,000 deaths and economic losses potentially exceeding the country’s gross domestic product (GDP).
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Unusually for the isolationist military juntas of Myanmar, its leader, Min Aung Hlaing, immediately issued a call for international assistance.
The junta, however, has full control of as little as 21% of the country in the ongoing civil war, with the rest contested or controlled by ethnic armed groups and resistance fighters. This indicates some hard-hit areas of the country may be inaccessible to international aid.
Compounding these difficulties, the Trump administration has decimated the US Agency for International Development (USAID) activities in the country. This will make it far more challenging to determine the areas most in need and distribute any aid on the ground.
Natural disasters in Myanmar
Along with its history of brutal and authoritarian military rule since gaining independence in 1948, Myanmar is also regularly afflicted by natural disasters.
At least 430 people are believed to have died in floods last September due to the remnants of Typhoon Yagi. In 2023, Cyclone Mocha reportedly killed about 460 of the Rohingya ethnic minority, who are largely confined to government camps in Rakhine state in inhuman conditions.
The worst natural disaster in living memory, however, was Cyclone Nargis in 2008, which left at least 140,000 dead. On that occasion, the military junta resisted international assistance, likely resulting in many unnecessary deaths.
At that time, there was no independent media in Myanmar and it was almost impossible to find out what was actually happening on the ground.
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Fortunately, the proliferation of mobile phones in the last decade has allowed information to spread much more widely, even with the junta’s internet blocks and other methods of censorship currently in place.
When Cyclone Nargis occurred – the year after the iPhone was launched – only around 1% of the Myanmar’s population had mobile phones. By the time of the coup in 2021, Myanmar had a smartphone penetration rate of 114%. (This means the country has more smartphones than people.)
Foreign assistance has been compromised
While Min Aung Hlaing has gone farther than his predecessor in 2008 in asking for international help, US President Donald Trump’s actions have ensured that any aid will be far less effective than it would have been two months ago.
On Friday, the same day the earthquake hit, the Trump administration told Congress it would cut nearly all remaining jobs at USAID and shut the agency, closing all USAID missions worldwide.
Jeremy Konyndyk, the president of Refugees International and a former USAID official, called the move “a total abdication of decades of US leadership in the world”. He argued the firings would cut “the last remnants of the team that would have mobilised a USAID disaster response” to the earthquake.
In 2024, USAID spent US$240 million (A$380 million) in Myanmar, around one-third of all multilateral humanitarian assistance to the country.
However, since Trump’s inauguration in January, the number of USAID programs in Myanmar has shrunk from 18 to just three. Several NGOs and at least seven US-funded hospitals operating along Myanmar’s border with Thailand have been shut down.
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Myanmar’s exiled independent media outlets, which shine a light on the military’s atrocities, have also seen their funding slashed by the Trump administration’s USAID cuts.
What happens now?
The day before the earthquake, Min Aung Hlaing addressed troops at the 80th anniversary of Armed Forces Day Parade. He announced national elections would go ahead in December – a vote that human rights groups are already calling a “sham”.
There is no conceivable way elections of any integrity can be held in the country under military rule or while the civil war continues to rage.
Military-backed parties have been overwhelmingly rejected by Myanmar’s electorate in every remotely free or fair election over the last four decades. This includes the most recent elections held in 2020, won by the National League of Democracy (NLD), led by Aung San Suu Kyi.
While the world should welcome – and urgently respond to – Min Aung Hlaing’s invitation for international assistance, this doesn’t mean the past is forgotten. Thousands of innocent lives have been lost as a result of the military’s unnecessary and destructive 2021 coup.
If the NLD had remained in government, the country would be infinitely more prepared to deal with consequences of this earthquake. Once again, the military’s brutal rule – and Trump’s draconian aid cuts – will no doubt cause more unnecessary suffering and deaths.
Workers who are in frequent contact with potentially sick animals are at high risk of bird flu infection.
Costfoto/NurPhoto via Getty ImagesRon Barrett, Macalester College
Disease forecasts are like weather forecasts: We cannot predict the finer details of a particular outbreak or a particular storm, but we can often identify when these threats are emerging and prepare accordingly.
The viruses that cause avian influenza are potential threats to global health. Recent animal outbreaks from a subtype called H5N1 have been especially troubling to scientists. Although human infections from H5N1 have been relatively rare, there have been a little more than 900 known cases globally since 2003 – nearly 50% of these cases have been fatal – a mortality rate about 20 times higher than that of the 1918 flu pandemic. If the worst of these rare infections ever became common among people, the results could be devastating.
Approaching potential disease threats from an anthropological perspective, my colleagues and I recently published a book called “Emerging Infections: Three Epidemiological Transitions from Prehistory to the Present” to examine the ways human behaviors have shaped the evolution of infectious diseases, beginning with their first major emergence in the Neolithic period and continuing for 10,000 years to the present day.
Viewed from this deep time perspective, it becomes evident that H5N1 is displaying a common pattern of stepwise invasion from animal to human populations. Like many emerging viruses, H5N1 is making incremental evolutionary changes that could allow it to transmit between people. The periods between these evolutionary steps present opportunities to slow this process and possibly avert a global disaster.
Spillover and viral chatter
When a disease-causing pathogen such as a flu virus is already adapted to infect a particular animal species, it may eventually evolve the ability to infect a new species, such as humans, through a process called spillover.
Spillover is a tricky enterprise. To be successful, the pathogen must have the right set of molecular “keys” compatible with the host’s molecular “locks” so it can break in and out of host cells and hijack their replication machinery. Because these locks often vary between species, the pathogen may have to try many different keys before it can infect an entirely new host species. For instance, the keys a virus successfully uses to infect chickens and ducks may not work on cattle and humans. And because new keys can be made only through random mutation, the odds of obtaining all the right ones are very slim.
Given these evolutionary challenges, it is not surprising that pathogens often get stuck partway into the spillover process. A new variant of the pathogen might be transmissible from an animal only to a person who is either more susceptible due to preexisting illness or more likely to be infected because of extended exposure to the pathogen.
Even then, the pathogen might not be able to break out of its human host and transmit to another person. This is the current situation with H5N1. For the past year, there have been many animal outbreaks in a variety of wild and domestic animals, especially among birds and cattle. But there have also been a small number of human cases, most of which have occurred among poultry and dairy workers who worked closely with large numbers of infected animals.
Pathogen transmission can be modeled in three stages. In Stage 1, the pathogen can be transmitted only between nonhuman animals. In stage 2, the pathogen can also be transmitted to humans, but it is not yet adapted for human-to-human transmission. In Stage 3, the pathogen is fully capable of human-to-human transmission.Ron Barrett, CC BY-SA
Epidemiologists call this situation viral chatter: when human infections occur only in small, sporadic outbreaks that appear like the chattering signals of coded radio communications – tiny bursts of unclear information that may add up to a very ominous message. In the case of viral chatter, the message would be a human pandemic.
Sporadic, individual cases of H5N1 among people suggest that human-to-human transmission may likely occur at some point. But even so, no one knows how long or how many steps it would take for this to happen.
Influenza viruses evolve rapidly. This is partly because two or more flu varieties can infect the same host simultaneously, allowing them to reshuffle their genetic material with one another to produce entirely new varieties.
Genetic reshuffling – aka antigenic shift – between a highly pathogenic strain of avian influenza and a strain of human influenza could create a new strain that’s even more infectious among people.Eunsun Yoo/Biomolecules & Therapeutics, CC BY-NC
These reshuffling events are more likely to occur when there is a diverse range of host species. So it is particularly concerning that H5N1 is known to have infected at least 450 different animal species. It may not be long before the viral chatter gives way to larger human epidemics.
Reshaping the trajectory
The good news is that people can take basic measures to slow down the evolution of H5N1 and potentially reduce the lethality of avian influenza should it ever become a common human infection. But governments and businesses will need to act.
People can start by taking better care of food animals. The total weight of the world’s poultry is greater than all wild bird species combined. So it is not surprising that the geography of most H5N1 outbreaks track more closely with large-scale housing and international transfers of live poultry than with the nesting and migration patterns of wild aquatic birds. Reducing these agricultural practices could help curb the evolution and spread of H5N1.
Large-scale commercial transport of domesticated animals is associated with the evolution and spread of new influenza varieties.ben/Flickr, CC BY-SA
People can also take better care of themselves. At the individual level, most people can vaccinate against the common, seasonal influenza viruses that circulate every year. At first glance this practice may not seem connected to the emergence of avian influenza. But in addition to preventing seasonal illness, vaccination against common human varieties of the virus will reduce the odds of it mixing with avian varieties and giving them the traits they need for human-to-human transmission.
At the population level, societies can work together to improve nutrition and sanitation in the world’s poorest populations. History has shown that better nutrition increases overall resistance to new infections, and better sanitation reduces how much and how often people are exposed to new pathogens. And in today’s interconnected world, the disease problems of any society will eventually spread to every society.
For more than 10,000 years, human behaviors have shaped the evolutionary trajectories of infectious diseases. Knowing this, people can reshape these trajectories for the better.Ron Barrett, Professor of Anthropology, Macalester College
This article is republished from The Conversation under a Creative Commons license. Read the original article.
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Ron Barrett, Professor of Anthropology, Macalester College
This article is republished from The Conversation under a Creative Commons license. Read the original article.
